基于小波包相关频带谱能量熵的滚动轴承性能退化评估方法

摘要

The rolling bearing will experience some different performance degradation states during the operation.An evaluation index is proposed to evaluate the mild fault performance degradation degree for the rolling bearing,based on the wavelet packet correlative spectral band spectrum energy entropy.The life cycle data of rolling bearing is decomposed by using the wavelet pack-et decomposition method.Correlation coefficient method is used to extracted the time-frequency domain components which contain main fault information.Then,each spectral band amplitude spectrum is calculated along the time axis.At last,the spectral ener-gy entropy can be calculated.Comparing with the typical time domain index RMS,wavelet packet spectral band amplitude spec-trum entropy and wavelet packet spectral band spectrum energy entropy evaluation indexes,the advantages of the proposed meth-od are verified for assessing mild fault of rolling bearing performance degradation degree.%滚动轴承在使用过程中会经历不同的性能退化状态。提出小波包相关频带谱能量熵以评估滚动轴承初始性能退化程度。以滚动轴承全寿命周期数据为支撑，对数据进行小波包分解，并利用相关系数法提取包含主要故障信息的时频分量，然后沿时间轴计算各频带幅值谱，再计算谱能量熵。通过实验与时域典型指标均方根值（RMS），以及小波包频带幅值谱熵和小波包频带谱能量熵评估指标进行对比，验证了所提方法在滚动轴承性能退化评估中，对初始故障的评估具有一定的优越性。